| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| BreastMNIST | Accuracy76.7 | 25 | 8d ago | ||
| ADNI CN vs AD | GAT | Accuracy78.5 | 25 | 8d ago | |
| PneumoniaMNIST | GCN | Accuracy91.9 | 25 | 8d ago | |
| NIFD (unsupervised) | Accuracy71.9 | 25 | 8d ago | ||
| HBC | STAMP_F | ARI59 | 22 | 3mo ago | |
| six large-scale datasets | Di-COT | NMI0.508 | 12 | 13d ago | |
| RCV1-10K | DEKM | ACC67.15 | 10 | 3mo ago | |
| 20NEWS | DKM | Accuracy51.2 | 10 | 3mo ago | |
| Dry Beans | VillageNet-Heur | NMI0.77 | 8 | 3mo ago | |
| Gas Sensor | VillageNet-Heur | NMI0.53 | 8 | 3mo ago | |
| UCI-HAR | VillageNet-Heur | NMI65 | 8 | 3mo ago | |
| Wifi | NMI0.9 | 8 | 3mo ago | ||
| MNIST | Louvain | NMI88 | 5 | 3mo ago | |
| Yahoo (test) | SCNN-VAE-Unsup + init | Accuracy59.9 | 4 | 3mo ago | |
| MNIST (test) | Adversarial Autoencoder | Error Rate4.1 | 3 | 3mo ago | |
| USPS | - | - | 0 | 3mo ago | |
| MNIST | - | - | 0 | 3mo ago |
